This 100%. I only figured this out 15 years after having started driving.

To add to this I tilt my rear view mirror (the one connected to the windshield) a little bit upwards to force me to sit a bit straighter and taller when I look at it. You slouch less so for long car trips your back ends up feeling a bit better.

I believe in evolutionary biology circles, they call that the great mistake. But hey, you get none of the calories and twice the taste :) /s

This is a great use of tech. With that said I find that the lines are blurred between “AI” and Machine Learning.

Real Question: Other than the specific tuning of the recognition model, how is this really different from something like Facebook automatically tagging images of you and your friends? Instead of saying "Here’s a picture of Billy (maybe) " it’s saying, “Here’s a picture of some precancerous masses (maybe)”.

That tech has been around for a while (at least 15 years). I remember Picasa doing something similar as a desktop program on Windows.

Try https://www.dellrefurbished.ca

Generally speaking, if Ubuntu works, LMDE will work as well. Unless you have something that is brand brand new with drivers only located in a bleeding edge kernel, you shouldn’t have any issues.

I have LMDE on an old XPS17 and it actually worked with less fuss than standard Ubuntu, mainly because of compatibility with a truly ancient wireless chipset.

Mr. Clean Magic Erasers.

The “generic” name is melamine sponge. These work exactly the same and cost a fraction of the brand name.

Technically no. The tolerances should be more or less the same (generally 90%-110% label claim for the active ingredient) . Manufacturers aim for 100% and generally hit that target (or get very close to it).

The bioavailability could be different though - if you are doing a bioequivalence trial for generic VS brand, the generic would have to be between 80% - 120%. This difference is generally a result of the starches, fillers, and other stuff that may be in a generic formulation.

Same net effect as your comment (wider tolerances), but there is a bit more nuance.

Sometimes you want to maaake some looove